Collaborative Filtering Guided Deep Reinforcement Learning for Sequential Recommendations
Author:
Affiliation:
1. Adobe Inc,San Jose,USA
2. Adobe Research,San Jose,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10020192/10020156/10020921.pdf?arnumber=10020921
Reference37 articles.
1. Item-based collaborative filtering recommendation algorithms
2. Contextual bandits with linear payoff functions;chu;Proceedings of the fourteenth international conference on artificial intelligence and statistics JMLR Workshop and Conference Proceedings,2011
3. Deep reinforcement learning for page-wise recommendations
4. Learning piece-wise linear models from large scale data for ad click prediction;gai,2017
5. Deep reinforcement learning based recommendation with explicit user-item interactions modeling;liu;CoRR,2018
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